The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-16"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "13805296 (up from 13554477 yesterday: 1.85 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "589911 (up from 584124 yesterday: 0.99 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4195467

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.27



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3576157 78310 2.24 1153858 138358 951 0.69 3.87
Brazil 2012151 45403 2.31 784037 76688 1322 1.75 3.81
India 1003832 34975 3.61 513431 25602 688 2.76 2.55
Russia 751612 6415 0.86 138464 11920 167 1.42 1.59
Peru 341586 3835 1.14 72984 12615 198 1.59 3.69
South Africa 324221 13172 4.23 205846 4669 216 4.85 1.44
Mexico 324041 6406 2.02 121090 37574 668 1.81 11.60
Chile 323698 2493 0.78 64634 7290 104 1.45 2.25
United Kingdom 294116 647 0.22 -15339 45204 66 0.15 15.37
Iran 267061 2500 0.94 51965 13608 198 1.48 5.10
Spain 258855 1361 0.53 11369 28416 3 0.01 10.98
Pakistan 257914 0 0.00 62169 5426 0 0.00 2.10
Italy 243736 230 0.09 4030 35017 20 0.06 14.37
Saudi Arabia 243238 2764 1.15 72599 2370 45 1.94 0.97
Turkey 216873 933 0.43 23758 5440 21 0.39 2.51
France 211102 534 0.25 13217 30141 18 0.06 14.28
Germany 201450 560 0.28 8079 9087 7 0.08 4.51
Bangladesh 196323 2733 1.41 69717 2496 39 1.59 1.27
Colombia 165169 5271 3.30 87856 6164 195 3.27 3.73
Argentina 114783 3637 3.27 62326 2112 62 3.02 1.84
Canada 111144 451 0.41 6681 8875 18 0.20 7.99
Qatar 105477 494 0.47 13639 152 1 0.66 0.14
Iraq 86148 2281 2.72 47009 3522 90 2.62 4.09
Egypt 85771 928 1.09 24641 4120 53 1.30 4.80
China 85314 68 0.08 613 4644 0 0.00 5.44
Indonesia 81668 1574 1.97 31481 3873 76 2.00 4.74
Sweden 76877 385 0.50 12987 5593 21 0.38 7.28
Ecuador 71365 1036 1.47 18209 5207 49 0.95 7.30
Kazakhstan 66895 1707 2.62 47145 375 0 0.00 0.56
Belarus 65623 180 0.28 5241 485 5 1.04 0.74
Belgium 63238 366 0.58 2231 9795 7 0.07 15.49
Oman 62574 1327 2.17 27672 290 9 3.20 0.46
Philippines 61266 2416 4.11 28197 1643 29 1.80 2.68
Kuwait 57668 791 1.39 14880 402 3 0.75 0.70
Ukraine 57640 861 1.52 16786 1462 18 1.25 2.54
United Arab Emirates 56129 281 0.50 9566 335 0 0.00 0.60
Bolivia 54156 1938 3.71 25653 1984 42 2.16 3.66
Netherlands 51572 101 0.20 1450 6156 1 0.02 11.94
Panama 50373 1130 2.29 21336 1000 18 1.83 1.99
Dominican Republic 48743 1072 2.25 19602 941 12 1.29 1.93
Portugal 47765 339 0.71 7350 1679 3 0.18 3.52
Singapore 47126 248 0.53 4390 27 0 0.00 0.06
Israel 46059 1871 4.23 23659 384 8 2.13 0.83
Poland 39054 333 0.86 5935 1605 11 0.69 4.11
Bahrain 35084 524 1.52 11003 121 4 3.42 0.34
Afghanistan 35070 76 0.22 4895 1113 19 1.74 3.17
Romania 35003 777 2.27 9717 1971 19 0.97 5.63
Nigeria 34854 595 1.74 12240 769 9 1.18 2.21
Armenia 33559 554 1.68 11071 607 15 2.53 1.81
Switzerland 33290 142 0.43 1862 1969 1 0.05 5.91
Guatemala 32939 865 2.70 17320 1404 54 4.00 4.26
Honduras 30867 831 2.77 15501 835 10 1.21 2.71
Azerbaijan 26165 493 1.92 11313 334 8 2.45 1.28
Ghana 26125 695 2.73 10652 139 0 0.00 0.53
Ireland 25698 15 0.06 293 1749 1 0.06 6.81
Japan 23510 338 1.46 5455 985 1 0.10 4.19
Algeria 21355 585 2.82 8910 1052 12 1.15 4.93
Moldova 20264 224 1.12 4811 666 7 1.06 3.29
Serbia 19717 383 1.98 6345 442 13 3.03 2.24
Austria 19270 116 0.61 1793 711 1 0.14 3.69
Nepal 17344 167 0.97 6182 39 0 0.00 0.22
Morocco 16545 283 1.74 5207 263 4 1.54 1.59
Cameroon 16157 984 6.49 3565 373 14 3.90 2.31
Uzbekistan 15066 485 3.33 7889 75 4 5.63 0.50
Korea, South 13672 60 0.44 1070 293 2 0.69 2.14
Czechia 13612 137 1.02 2742 355 0 0.00 2.61
Cote d’Ivoire 13554 151 1.13 5220 87 0 0.00 0.64
Denmark 13325 32 0.24 489 610 0 0.00 4.58
Kyrgyzstan 12498 216 1.76 8294 167 2 1.21 1.34
Kenya 11673 421 3.74 6289 217 8 3.83 1.86
Australia 11233 423 3.91 3638 116 3 2.65 1.03
El Salvador 10957 312 2.93 5621 298 12 4.20 2.72
Venezuela 10854 426 4.09 6291 104 4 4.00 0.96
Sudan 10527 0 0.00 1543 668 0 0.00 6.35

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 404775 769 0.19 14360 32446 19 0.06 8.02 20807.24 1667.87 1 in 48
California 364706 9821 2.77 163594 7489 114 1.55 2.05 9230.21 189.54 1 in 108
Florida 315775 13965 4.63 201757 4677 156 3.45 1.48 14702.43 217.76 1 in 68
Texas 305854 16017 5.53 171296 3657 159 4.55 1.20 10548.19 126.12 1 in 95
New Jersey 176501 223 0.13 6305 15665 31 0.20 8.88 19871.34 1763.64 1 in 50
Illinois 159082 1257 0.80 19648 7452 25 0.34 4.68 12554.00 588.08 1 in 80
Arizona 134613 3259 2.48 71332 2492 58 2.38 1.85 17677.60 327.25 1 in 57
Georgia 131287 3449 2.70 60192 3105 14 0.45 2.37 12365.24 292.44 1 in 81
Massachusetts 112581 234 0.21 4744 8380 12 0.14 7.44 16199.86 1205.84 1 in 62
Pennsylvania 103075 806 0.79 14934 6984 27 0.39 6.78 8051.48 545.54 1 in 124
North Carolina 93708 1871 2.04 36236 1607 18 1.13 1.71 8934.71 153.22 1 in 112
Louisiana 86411 2280 2.71 32996 3485 24 0.69 4.03 18587.83 749.66 1 in 54
Michigan 79839 926 1.17 10850 6348 18 0.28 7.95 7994.41 635.64 1 in 125
Maryland 75664 648 0.86 9887 3347 6 0.18 4.42 12515.38 553.62 1 in 80
Virginia 74431 904 1.23 14485 2007 15 0.75 2.70 8720.15 235.14 1 in 115
Tennessee 71540 2479 3.59 33506 796 13 1.66 1.11 10469.51 116.49 1 in 96
Ohio 70601 1290 1.86 22950 3103 28 0.91 4.40 6039.90 265.46 1 in 166
South Carolina 64083 1838 2.95 35061 1070 72 7.21 1.67 12446.41 207.82 1 in 80
Alabama 61088 2021 3.42 27882 1230 19 1.57 2.01 12458.84 250.86 1 in 80
Indiana 54080 710 1.33 10425 2795 10 0.36 5.17 8033.01 415.17 1 in 124
Connecticut 47750 114 0.24 1756 4389 9 0.21 9.19 13393.03 1231.04 1 in 75
Minnesota 44347 605 1.38 10224 1566 8 0.51 3.53 7863.46 277.68 1 in 127
Washington 44313 1267 2.94 13946 1427 6 0.42 3.22 5819.25 187.40 1 in 172
Mississippi 39797 1230 3.19 15281 1308 18 1.40 3.29 13371.98 439.49 1 in 75
Wisconsin 39627 900 2.32 13400 831 4 0.48 2.10 6805.92 142.72 1 in 147
Colorado 38708 571 1.50 7245 1745 1 0.06 4.51 6721.61 303.02 1 in 149
Iowa 37350 814 2.23 9977 781 4 0.51 2.09 11838.09 247.54 1 in 84
Nevada 31915 1447 4.75 17056 626 8 1.29 1.96 10361.49 203.24 1 in 97
Utah 31845 954 3.09 12471 234 1 0.43 0.73 9933.07 72.99 1 in 101
Arkansas 31114 817 2.70 13052 341 6 1.79 1.10 10310.07 113.00 1 in 97
Missouri 30873 816 2.71 11236 1121 2 0.18 3.63 5030.28 182.65 1 in 199
Oklahoma 23440 626 2.74 11492 438 6 1.39 1.87 5923.72 110.69 1 in 169
Nebraska 22134 155 0.71 3788 299 8 2.75 1.35 11442.26 154.57 1 in 87
Kentucky 21083 406 1.96 6466 650 5 0.78 3.08 4719.01 145.49 1 in 212
Kansas 20817 468 2.30 7710 305 1 0.33 1.47 7145.47 104.69 1 in 140
Rhode Island 17711 71 0.40 1071 988 1 0.10 5.58 16718.57 932.64 1 in 60
New Mexico 16138 297 1.87 4946 562 5 0.90 3.48 7696.38 268.02 1 in 130
Oregon 13509 428 3.27 5941 249 2 0.81 1.84 3202.90 59.04 1 in 312
Idaho 13134 685 5.50 8269 114 4 3.64 0.87 7328.98 63.61 1 in 136
Delaware 13114 64 0.49 2134 521 0 0.00 3.97 13467.33 535.04 1 in 74
District of Columbia 11076 50 0.45 917 574 3 0.53 5.18 15693.96 813.32 1 in 64
Puerto Rico 10574 195 1.88 3697 172 1 0.58 1.63 3310.90 53.86 1 in 302
South Dakota 7694 42 0.55 1215 115 4 3.60 1.49 8697.14 129.99 1 in 115
New Hampshire 6139 26 0.43 501 395 1 0.25 6.43 4514.93 290.50 1 in 221
North Dakota 4668 103 2.26 1275 89 1 1.14 1.91 6125.49 116.79 1 in 163
West Virginia 4657 100 2.19 1963 99 1 1.02 2.13 2605.83 55.40 1 in 384
Maine 3598 20 0.56 528 114 0 0.00 3.17 2676.66 84.81 1 in 374
Montana 2231 135 6.44 1428 35 1 2.94 1.57 2087.43 32.75 1 in 479
Wyoming 2026 41 2.07 700 24 2 9.09 1.18 3500.59 41.47 1 in 286
Alaska 1693 62 3.80 880 17 0 0.00 1.00 2314.28 23.24 1 in 432
Vermont 1325 7 0.53 134 56 0 0.00 4.23 2123.43 89.75 1 in 471
Hawaii 1311 19 1.47 460 22 0 0.00 1.68 925.93 15.54 1 in 1080

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4921210 404775 8.23 1301616 14360 1.10 252972.19
2 California 5915508 364706 6.17 2221163 163594 7.37 149713.37
3 Florida 2815618 315775 11.22 1094974 201757 18.43 131094.72
4 Texas 2699855 305854 11.33 1040515 171296 16.46 93111.67
5 New Jersey 1759904 176501 10.03 438994 6305 1.44 198138.52
6 Illinois 2123739 159082 7.49 662212 19648 2.97 167595.41
7 Arizona 749266 134613 17.97 285070 71332 25.02 98394.82
8 Georgia 1178222 131287 11.14 420298 60192 14.32 110970.62
9 Massachusetts 1001684 112581 11.24 196228 4744 2.42 144137.50
10 Pennsylvania 983641 103075 10.48 278840 14934 5.36 76835.01
11 North Carolina 1312757 93708 7.14 501479 36236 7.23 125166.52
12 Louisiana 1024137 86411 8.44 363472 32996 9.08 220301.65
13 Michigan 1395154 79839 5.72 432315 10850 2.51 139699.01
14 Maryland 692529 75664 10.93 193570 9887 5.11 114549.40
15 Virginia 861173 74431 8.64 268207 14485 5.40 100892.87
16 Tennessee 1123697 71540 6.37 396148 33506 8.46 164447.30
17 Ohio 1088793 70601 6.48 389163 22950 5.90 93146.01
18 South Carolina 539964 64083 11.87 206606 35061 16.97 104873.57
19 Alabama 551109 61088 11.08 181651 27882 15.35 112398.17
20 Indiana 595558 54080 9.08 151306 10425 6.89 88463.85
21 Connecticut 615548 47750 7.76 206605 1756 0.85 172650.34
22 Minnesota 805212 44347 5.51 262516 10224 3.89 142777.40
23 Washington 733886 44313 6.04 238388 13946 5.85 96375.09
24 Mississippi 363900 39797 10.94 97903 15281 15.61 122272.10
25 Wisconsin 742809 39627 5.33 215143 13400 6.23 127577.06
26 Colorado 416216 38708 9.30 120151 7245 6.03 72275.58
27 Iowa 396451 37350 9.42 119397 9977 8.36 125655.22
28 Nevada 370843 31915 8.61 115293 17056 14.79 120397.47
29 Utah 439528 31845 7.25 127474 12471 9.78 137097.24
30 Arkansas 400961 31114 7.76 123581 13052 10.56 132864.23
31 Missouri 529301 30873 5.83 187653 11236 5.99 86241.50
32 Oklahoma 456817 23440 5.13 151852 11492 7.57 115446.13
33 Nebraska 223229 22134 9.92 60059 3788 6.31 115399.13
34 Kentucky 468004 21083 4.50 125122 6466 5.17 104753.41
35 Kansas 239374 20817 8.70 77669 7710 9.93 82165.53
36 Rhode Island 177388 17711 9.98 -50752 1071 -2.11 167448.11
37 New Mexico 437005 16138 3.69 128900 4946 3.84 208412.32
38 Oregon 318946 13509 4.24 102328 5941 5.81 75620.17
39 Idaho 136863 13134 9.60 56324 8269 14.68 76371.67
40 Delaware 144870 13114 9.05 43878 2134 4.86 148773.21
41 District of Columbia 140242 11076 7.90 53511 917 1.71 198713.71
43 South Dakota 94036 7694 8.18 18182 1215 6.68 106296.32
44 New Hampshire 138272 6139 4.44 26706 501 1.88 101692.20
45 North Dakota 128056 4668 3.65 28612 1275 4.46 168038.82
46 West Virginia 219174 4657 2.12 60470 1963 3.25 122639.04
47 Maine 130462 3598 2.76 42864 528 1.23 97054.63
48 Montana 127840 2231 1.75 49508 1428 2.88 119613.24
49 Wyoming 43452 2026 4.66 13257 700 5.28 75077.88
50 Alaska 163022 1693 1.04 63570 880 1.38 222846.17
51 Vermont 79040 1325 1.68 18331 134 0.73 126668.90
52 Hawaii 99387 1311 1.32 27452 460 1.68 70194.90

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 292589 8308 2.92 160357 54.81 120480 11452 258 2.30 3.91
Tamil Nadu 160907 4538 2.90 110807 68.86 47785 2315 79 3.53 1.44
Delhi 120107 1462 1.23 99301 82.68 17235 3571 26 0.73 2.97
Karnataka 55115 3693 7.18 20758 37.66 33201 1152 115 11.09 2.09
Gujarat 46516 949 2.08 32944 70.82 11465 2107 17 0.81 4.53
Uttar Pradesh 45163 1722 3.96 27634 61.19 16445 1084 38 3.63 2.40
Telangana 42496 1478 3.60 28705 67.55 13388 403 7 1.77 0.95
Andhra Pradesh 40646 2602 6.84 20298 49.94 19814 534 42 8.54 1.31
West Bengal 38011 1894 5.24 22253 58.54 14709 1049 26 2.54 2.76
Rajasthan 27789 615 2.26 20626 74.22 6617 546 8 1.49 1.96
Haryana 24797 795 3.31 18718 75.48 5752 327 5 1.55 1.32
Bihar 23300 1742 8.08 14997 64.36 8130 173 6 3.59 0.74
Assam 21865 1218 5.90 14106 64.51 7700 56 1 1.82 0.26
Madhya Pradesh 21082 704 3.45 14514 68.85 5870 698 9 1.31 3.31
Odisha 16110 718 4.66 11330 70.33 4671 109 6 5.83 0.68
Jammu and Kashmir 12757 601 4.94 6558 51.41 5968 231 9 4.05 1.81
Kerala 11067 791 7.70 4994 45.13 6030 39 1 2.63 0.35
Punjab 9442 348 3.83 6373 67.50 2830 239 9 3.91 2.53
Jharkhand 5096 313 6.54 2577 50.57 2473 46 4 9.52 0.90
Chhattisgarh 5003 249 5.24 3512 70.20 1467 24 3 14.29 0.48
Uttarakhand 4102 120 3.01 3021 73.65 996 51 1 2.00 1.24
Goa 3304 196 6.31 1946 58.90 1337 21 2 10.53 0.64
Tripura 2497 118 4.96 1684 67.44 796 3 0 0.00 0.12
Puducherry 1832 89 5.11 1014 55.35 793 25 3 13.64 1.36
Manipur 1800 36 2.04 1163 64.61 637 0 0 NaN 0.00
Himachal Pradesh 1417 40 2.90 1011 71.35 383 10 0 0.00 0.71
Ladakh 1151 4 0.35 973 84.54 176 2 1 100.00 0.17
Nagaland 956 40 4.37 405 42.36 551 0 0 NaN 0.00
Chandigarh 660 25 3.94 480 72.73 169 11 0 0.00 1.67
Arunachal Pradesh 609 66 12.15 175 28.74 431 3 0 0.00 0.49
Dadra and Nagar Haveli and Daman and Diu 608 32 5.56 414 68.09 184 2 0 0.00 0.33
State Unassigned 531 -754 -58.68 0 0.00 531 0 0 NaN 0.00
Meghalaya 403 26 6.90 49 12.16 352 2 0 0.00 0.50
Mizoram 282 10 3.68 160 56.74 122 0 0 NaN 0.00
Sikkim 267 32 13.62 88 32.96 166 0 0 NaN 0.00
Andaman and Nicobar Islands 180 0 0.00 133 73.89 47 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1176203 95316 80 0.08 8.10 164 23 7509 16775 17.60
Piemonte 460019 31522 7 0.02 6.85 159 6 868 4118 13.06
Emilia-Romagna 563225 29035 46 0.16 5.16 88 9 1198 4271 14.71
Veneto 1092693 19470 29 0.15 1.78 31 2 455 2047 10.51
Toscana 382160 10350 12 0.12 2.71 12 2 315 1127 10.89
Liguria 167677 10050 8 0.08 5.99 28 0 201 1564 15.56
Lazio 377936 8385 9 0.11 2.22 175 9 850 848 10.11
Marche 152848 6806 1 0.01 4.45 3 1 156 987 14.50
P.A. Trento 137601 4881 0 0.00 3.55 1 0 18 405 8.30
Campania 307585 4791 4 0.08 1.56 23 1 262 432 9.02
Puglia 210124 4542 1 0.02 2.16 11 0 68 548 12.07
Friuli Venezia Giulia 219943 3343 4 0.12 1.52 7 0 97 345 10.32
Abruzzo 117027 3333 2 0.06 2.85 17 0 120 468 14.04
Sicilia 243037 3132 17 0.55 1.29 6 0 154 283 9.04
P.A. Bolzano 93770 2678 1 0.04 2.86 6 0 100 292 10.90
Umbria 109277 1452 0 0.00 1.33 5 0 10 80 5.51
Sardegna 95982 1377 1 0.07 1.43 4 0 11 134 9.73
Calabria 107852 1226 8 0.66 1.14 5 0 65 97 7.91
Valle d’Aosta 19915 1196 0 0.00 6.01 1 0 2 146 12.21
Molise 25218 446 0 0.00 1.77 1 0 9 23 5.16
Basilicata 43400 405 0 0.00 0.93 3 0 5 27 6.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 57001 142 0.25 5646 10 0.18 9.91 6676.41 661.30 1 in 150
Ontario 39043 125 0.32 2784 6 0.22 7.13 2653.85 189.24 1 in 377
Alberta 9114 120 1.33 165 2 1.23 1.81 2065.19 37.39 1 in 484
British Columbia 3170 21 0.67 189 0 0.00 5.96 620.24 36.98 1 in 1612
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 923 42 4.77 15 0 0.00 1.63 781.10 12.69 1 in 1280
Manitoba 331 1 0.30 7 0 0.00 2.11 240.29 5.08 1 in 4162
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 168 0 0.00 2 0 0.00 1.19 215.39 2.56 1 in 4643
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 1655 10 0.60
Guangdong 1650 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 732 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 77 3 3.90
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 10929.58 422.85 1 in 91
Brazil 9613.72 366.40 1 in 104
India 749.69 19.12 1 in 1334
Russia 5201.47 82.49 1 in 192
Peru 10618.15 392.14 1 in 94
South Africa 5716.17 82.32 1 in 175
Mexico 2508.06 290.82 1 in 399
Chile 17933.41 403.88 1 in 56
United Kingdom 4426.79 680.37 1 in 226
Iran 3290.55 167.67 1 in 304
Spain 5547.69 609.00 1 in 180
Pakistan 1309.21 27.54 1 in 764
Italy 4030.03 578.98 1 in 248
Saudi Arabia 7384.27 71.95 1 in 135
Turkey 2683.74 67.32 1 in 373
France 3151.25 449.93 1 in 317
Germany 2433.26 109.76 1 in 411
Bangladesh NA NA 1 in NA
Colombia 3365.99 125.62 1 in 297
Argentina 2592.79 47.71 1 in 386

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 220367 23371 10.61
Los Angeles California 147678 3989 2.70
Cook Illinois 97214 4750 4.89
Maricopa Arizona 88954 1311 1.47
Miami-Dade Florida 75425 1246 1.65
Harris Texas 51959 509 0.98
Nassau New York 42506 2192 5.16
Suffolk New York 42333 1993 4.71
Dallas Texas 36969 485 1.31
Broward Florida 35566 464 1.30
Westchester New York 35422 1436 4.05
Riverside California 28177 585 2.08
Philadelphia Pennsylvania 28024 1664 5.94
Orange California 27904 466 1.67
Bexar Texas 27047 229 0.85
Clark Nevada 26926 507 1.88
Wayne Michigan 24760 2770 11.19
Middlesex Massachusetts 24685 1934 7.83
Palm Beach Florida 23711 638 2.69
San Diego California 21855 465 2.13
Hillsborough Florida 21557 232 1.08
San Bernardino California 21468 310 1.44
Orange Florida 21299 102 0.48
Suffolk Massachusetts 20445 1027 5.02
Tarrant Texas 20433 283 1.39
Prince George’s Maryland 20191 719 3.56
Bergen New Jersey 19950 2030 10.18
Hudson New Jersey 19240 1497 7.78
Essex New Jersey 19119 2089 10.93
Passaic New Jersey 17150 1232 7.18
Middlesex New Jersey 17142 1397 8.15
Fairfield Connecticut 17027 1391 8.17
Essex Massachusetts 16596 1136 6.85
Travis Texas 16570 183 1.10
Union New Jersey 16567 1341 8.09
Mecklenburg North Carolina 16360 164 1.00
Montgomery Maryland 16056 763 4.75
Salt Lake Utah 15655 133 0.85
Shelby Tennessee 15324 233 1.52
Milwaukee Wisconsin 15057 403 2.68
Duval Florida 14992 89 0.59
Davidson Tennessee 14982 160 1.07
Fairfax Virginia 14687 509 3.47
Hennepin Minnesota 14125 794 5.62
Rockland New York 13763 670 4.87
Providence Rhode Island 13674 0 0.00
Oakland Michigan 13171 1113 8.45
Franklin Ohio 13099 456 3.48
Worcester Massachusetts 12738 968 7.60
Pima Arizona 12697 360 2.84
New Haven Connecticut 12686 1088 8.58
King Washington 12558 631 5.02
Gwinnett Georgia 12489 191 1.53
Pinellas Florida 12368 295 2.39
Marion Indiana 12361 701 5.67
Fulton Georgia 12184 333 2.73
Hartford Connecticut 12016 1402 11.67
Jefferson Louisiana 11836 497 4.20
Lee Florida 11721 206 1.76
District of Columbia District of Columbia 11076 574 5.18
Orange New York 10895 484 4.44
Lake Illinois 10653 432 4.06
El Paso Texas 10638 173 1.63
Puerto Rico 10574 172 1.63
Out of GA Georgia 10427 61 0.59
Cuyahoga Ohio 9985 406 4.07
DuPage Illinois 9917 494 4.98
Ocean New Jersey 9902 1001 10.11
Monmouth New Jersey 9626 846 8.79
Norfolk Massachusetts 9588 962 10.03
Baltimore Maryland 9261 504 5.44
Hidalgo Texas 9244 218 2.36
DeKalb Georgia 9165 186 2.03
Fresno California 9124 91 1.00
Orleans Louisiana 9052 543 6.00
Montgomery Pennsylvania 8999 835 9.28
Baltimore City Maryland 8998 373 4.15
Yuma Arizona 8949 160 1.79
Plymouth Massachusetts 8847 688 7.78
Yakima Washington 8805 190 2.16
Charleston South Carolina 8677 81 0.93
Alameda California 8627 154 1.79
Bristol Massachusetts 8593 603 7.02
St. Louis Missouri 8561 605 7.07
Polk Florida 8498 159 1.87
Douglas Nebraska 8409 109 1.30
Imperial California 8310 148 1.78
Kane Illinois 8262 288 3.49
Wake North Carolina 8198 83 1.01
Denver Colorado 8164 398 4.88
Macomb Michigan 8138 932 11.45
Polk Iowa 7988 188 2.35
Prince William Virginia 7978 160 2.01
Erie New York 7927 646 8.15
Nueces Texas 7861 75 0.95
Greenville South Carolina 7856 123 1.57
East Baton Rouge Louisiana 7830 280 3.58
Mercer New Jersey 7827 604 7.72
Jefferson Alabama 7809 181 2.32
Camden New Jersey 7786 558 7.17

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc